Senior Reinsurance Data Analyst

Job highlights

• Bachelor s degree in accounting,Finance,Business,or related field Experience
• Minimum 4+ years of experience in financial systems,data mapping,implementing automation solutions,business intelligence,working with digital transformation initiatives or tools of the future (e.g.,AI tools,data platforms,workflow automation) . 4+ Experience analyzing large volumes of data / data modeling .

Senior Reinsurance Data Analyst, Assurant, GCC-India

This role is responsible for executing and contributing to the optimization of reinsurance operations with a strong focus on accuracy, controls, and efficiency. The Senior Reinsurance Data Analyst operates as an individual contributor.

The role performs data analyses, creates process optimization plans, and leverages business intelligence and AI-enabled tools to enhance operational effectiveness, improve cycle times, and strengthen controls. This position supports the modernization of processes and the scaling of operations through automation and emerging technologies.

This position will be in Bangalore, Hyderabad, Gurgaon & Chennai at our India location.

What will be my duties and responsibilities in this job

Reinsurance Operations Execution & Oversight (40 50%)

• Execute core reinsurance settlement activities including client reporting and reconciliations
• Monitor reinsurance processes, as well as system and financial reporting outputs
• Read contractual terms and perform internal controls
• Identify and escalate risks, discrepancies, and operational issues with clear analysis and recommended actions.

Data, Business Intelligence & AI Enablement (35 45%)

• Leverage data and business intelligence tools (e.g., Power BI, Alteryx, PowerQuery) to analyze trends/variances and calculate operational performance KPI s
• Utilize AI-enabled tools (e.g., Microsoft Copilot, ChatGPT, automation platforms) to analyze large volumes of data, perform data modeling
• Improve efficiency in reconciliations, reporting, and documentation
• Perform root-cause analysis and issue resolution
• Perform UAT for client integrations.
• Create process documentation for operational consistency
• Implement automation and tools of the future within reinsurance workflows

Process Improvement & Operational Efficiency (20 25%)

• Identify inefficiencies, manual processes, and control gaps within reinsurance operations
• Complete process redesign, standardization, and documentation efforts
• Execute initiatives focused on system integrations, automation, cycle time reduction, and scalability
• Contribute to a culture of continuous improvement, leveraging data to prioritize and measure impact
• Contribute cross-functionally (Finance, Technology, Operations) to drive transformation efforts

What are the requirements needed for this position

Education

• Bachelor s degree in accounting, Finance, Business, or related field Experience.
• 4+ years of experience in finance/accounting
• Minimum 4+ years of experience in financial systems, data mapping, implementing automation solutions, business intelligence, working with digital transformation initiatives or tools of the future (e.g., AI tools, data platforms, workflow automation)
• 4+ Experience analyzing large volumes of data/data modeling
• Experience in monitoring and oversight of system outputs
• Aptitude for learning and applying AI-enabled tools to drive productivity and insight generation (Co-Pilot, ChatGPT, Claude)

Knowledge & Skills:

• Experience implementing Alteryx workflows.
• Advanced skills in data analytics and BI tools (Power BI, Power Query, or similar)
• Demonstrated ability to implement process improvements and automation opportunities
• Strong analytical and problem-solving skills with attention to detail
• Ability to operate independently while influencing outcomes across teams and vendors
• Strong communication skills with ability to translate operational issues into business insights
• Control-minded with focus on accuracy, risk mitigation, and operational discipline
• Proven mindset focused on efficiency, continuous improvement, and innovation

What are the Preferred requirements needed for this position

• Experience in Property & Casualty (P&C) insurance or reinsurance environment
• Understanding of reinsurance operations (premium, claims, settlements, reporting, reinsurance systems and data structures)
• Exposure to AI-enabled tools to drive productivity and insight generation

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.